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poissonisfish.com | ||
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seeing-theory.brown.edu
A probability distribution specifies the relative likelihoods of all possible outcomes. |
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www.countbayesie.com
Learn about Discrete and Continuous probability distributions as well as the types of questions that they can both answers. This post also discusses the relationship between the Binomial and Beta distributions. |
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www.randomservices.org
[AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight. |
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almostsuremath.com
A stochastic process X is said to have independent increments if $latex {X_t-X_s}&fg=000000$ is independent of $latex {\{X_u\}_{u\le s}}&fg=000000$ for all $latex {s\le t}&fg=000000$. For example, standard Brownian motion is a continuous process with independent increments. Brownian motion also has stationary increments, meaning that the distribution of $latex {X_{t+s}-X_t}&fg=000000$ does not depend on t. In... |
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